Work Schedule
Other
Environmental Conditions
Office
As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
Discover Impactful Work:
We are seeking a highly skilled and motivated Marketing Data Engineer to join our dynamic marketing team. As a Marketing Data Engineer, you will play a crucial role in driving data-driven marketing initiatives and optimizing our marketing strategies. You will be responsible for developing and maintaining our marketing data infrastructure, ensuring the accuracy, integrity, and accessibility of our marketing data. This position offers an exciting opportunity to use your technical expertise and analytical skills to drive business growth and enhance marketing performance.
Responsibilities Data Architecture and Infrastructure:
- Design, develop, and maintain a robust marketing data infrastructure, including data pipelines, data warehouses, and data integration processes.
- Collaborate with multi-functional teams to define data requirements and implement efficient data collection, storage, and processing solutions.
- Ensure the scalability, security, and reliability of marketing data infrastructure.
- Work with Corporate IT to understand follow standards, best practices and release process.
- Develops a proven understanding of the technical details of data domains, and clearly understands what business problems are being solved
Data Integration and Management:
- Extract, transform, and load (ETL) marketing data from various sources, ensuring data accuracy, consistency, and integrity.
- Develop and implement data integration workflows and processes to enable seamless data flow across marketing systems and platforms.
- Monitoring and troubleshooting data pipelines, identifying and resolving performance issues and bottlenecks.
- Helps to define business rules that determines the quality of data, assists the product owner in writing test scripts that validates business rules, and performs detailed and rigorous testing to ensure data quality.
- Staying up to date with emerging data engineering technologies, trends, and standard methodologies, and evaluating their applicability to improve data systems and processes.
Automation and Optimization:
- Find opportunities for process automation and optimization within marketing data management and reporting functions.
- Implement data automation tools and techniques to streamline data processing and reporting workflows.
- Continuously evaluate and improve data engineering processes, tools, and technologies to enhance efficiency and effectiveness.
- Building, tuning and optimizing data integration workflows to connect data from different systems and platforms.
- Use of deployment automation software such as Jenkins to detect defects in a code base, build the software, automate testing of their builds, prepare the code base for deployment (delivery), and ultimately deploy code.
Technology Evaluation and Implementation:
- Stay updated with the latest digital marketing technologies and industry trends to find opportunities for improvement and innovation.
- Evaluate and recommend digital marketing data tools, platforms, and technologies to enhance data collection, integration, and analysis processes.
- Collaborate with IT and vendors to implement and integrate digital marketing data solutions effectively.
Qualifications Education
- Bachelor’s degree in Computer Science, Information Systems, or a related field.
Experience
- 3+ years of proficiency in programming languages commonly used in data engineering, such as Python, SQL, Shell scripting.
- 3+ years designing and developing data pipelines and ETL processes to extract, transform, and load data from various sources into cloud storage or on prem databases.
- Solid understanding of SQL and database concepts. Preferably Oracle DB
- Demonstrable experience as a Data Engineer, preferably in a marketing or analytics-focused role.
- Strong proficiency in SQL and experience with relational databases.
- Proficiency in programming languages such as Python
- Experience with data integration tools and platforms, such as ETL frameworks and cloud-based data warehouses.
- Ability to perform extensive data analysis (comparing multiple datasets) using a variety of tools. SQL query tools, advanced excel and file processing tools.
- Competent in Unix or Linux shell scripting and commands
- Demonstrated experience in data management & data governance capabilities
- Familiarity with marketing technologies and platforms, such as CRM systems, marketing automation tools, and digital advertising platforms.
- Solid understanding of data management principles, data governance, and data quality best practices.
- Strong analytical and problem-solving skills, with the ability to interpret complex data and deliver actionable insights.
- Superb communication and collaboration skills, with the ability to work effectively in multi-functional teams.
- Competent with project management platforms such as Workfront, Jira, Trello for issue and bug tracking as well as product development tasks.
- Open to work in an over lapped shift to align with our US colleagues.
Programming Languages and Tools
- Cloud technology: Databricks (Expert)
- Python, SQL (Proficient)
- Code repository: GitHub (Proficient)
- Deployment tools: Jenkins
- Database: Oracle (Proficient)
- API Platforms (Competent)
- Storage service: AWS S3 (Proficient)
- Big data techs: Spark-Spark Frame working Pyspark (Competent)
- Unix shell scripting (Competent)
- Query tools such as SQL Developer
Benefits
We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation!
Our Mission is to enable our customers to make the world healthier, cleaner and safer. Watch as our colleagues explain 5 reasons to work with us. As one team of 100,000+ colleagues, we share a common set of values – Integrity, Intensity, Innovation and Involvement – working together to accelerate research, solve complex scientific challenges, drive technological innovation and support patients in need. #StartYourStory at Thermo Fisher Scientific, where diverse experiences, backgrounds and perspectives are valued.
Apply today!
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.
Accessibility/Disability Access
Job Seekers with a Disability: Thermo Fisher Scientific offers accessibility service for job seekers requiring accommodations in the job application process. For example, this may include individuals requiring assistance because of hearing, vision, mobility, or cognitive impairments. If you are a job seeker with a disability, or assisting a person with a disability, and require accessibility assistance or an accommodation to apply for one of our jobs, please submit a request by telephone at 1-*. Please include your contact information and specific details about your required accommodation to support you during the job application process.
This telephone line is reserved solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes, such as not being able to get into the career website, following up on an application, or other non-disability related technical issues will not receive a response.
PySpark amazon-s3 data-management Python Apache Spark automation api-platform.com Unix shell Data Architect Oracle optimization Cloud Systems Engineer data-integration GitHub SQL evaluation Jenkins